Literature DB >> 10995474

Adaptive evolution of a candidate gene for aging in Drosophila.

P S Schmidt1, D D Duvernell, W F Eanes.   

Abstract

Examination of the phenotypic effects of specific mutations has been extensively used to identify candidate genes affecting traits of interest. However, such analyses do not reveal anything about the evolutionary forces acting at these loci, or whether standing allelic variation contributes to phenotypic variance in natural populations. The Drosophila gene methuselah (mth) has been proposed as having major effects on organismal stress response and longevity phenotype. Here, we examine patterns of polymorphism and divergence at mth in population level samples of Drosophila melanogaster, D. simulans, and D. yakuba. Mth has experienced an unusually high level of adaptive amino acid divergence concentrated in the intra- and extracellular loop domains of the receptor protein, suggesting the historical action of positive selection on those regions of the molecule that modulate signal transduction. Further analysis of single nucleotide polymorphisms (SNPs) in D. melanogaster provided evidence for contemporary and spatially variable selection at the mth locus. In ten surveyed populations, the most common mth haplotype exhibited a 40% cline in frequency that coincided with population level differences in multiple life-history traits including lifespan. This clinal pattern was not associated with any particular SNP in the coding region, indicating that selection is operating at a closely linked site that may be involved in gene expression. Together, these consistently nonneutral patterns of inter- and intraspecific variation suggest adaptive evolution of a signal transduction pathway that may modulate lifespan in nature.

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 10995474      PMCID: PMC27114          DOI: 10.1073/pnas.190338897

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  30 in total

1.  DnaSP version 3: an integrated program for molecular population genetics and molecular evolution analysis.

Authors:  J Rozas; R Rozas
Journal:  Bioinformatics       Date:  1999-02       Impact factor: 6.937

2.  On the number of segregating sites in genetical models without recombination.

Authors:  G A Watterson
Journal:  Theor Popul Biol       Date:  1975-04       Impact factor: 1.570

3.  A procedure for in vitro amplification of DNA segments that lie outside the boundaries of known sequences.

Authors:  T Triglia; M G Peterson; D J Kemp
Journal:  Nucleic Acids Res       Date:  1988-08-25       Impact factor: 16.971

4.  Statistical method for testing the neutral mutation hypothesis by DNA polymorphism.

Authors:  F Tajima
Journal:  Genetics       Date:  1989-11       Impact factor: 4.562

5.  Statistical tests of neutrality of mutations.

Authors:  Y X Fu; W H Li
Journal:  Genetics       Date:  1993-03       Impact factor: 4.562

6.  Pleiotropic overdominance and the maintenance of genetic variation in polygenic characters.

Authors:  J H Gillespie
Journal:  Genetics       Date:  1984-06       Impact factor: 4.562

7.  Adaptive protein evolution at the Adh locus in Drosophila.

Authors:  J H McDonald; M Kreitman
Journal:  Nature       Date:  1991-06-20       Impact factor: 49.962

8.  Inferring weak selection from patterns of polymorphism and divergence at "silent" sites in Drosophila DNA.

Authors:  H Akashi
Journal:  Genetics       Date:  1995-02       Impact factor: 4.562

9.  The high affinity state of the beta 2-adrenergic receptor requires unique interaction between conserved and non-conserved extracellular loop cysteines.

Authors:  K Noda; Y Saad; R M Graham; S S Karnik
Journal:  J Biol Chem       Date:  1994-03-04       Impact factor: 5.157

10.  African and North American populations of Drosophila melanogaster are very different at the DNA level.

Authors:  D J Begun; C F Aquadro
Journal:  Nature       Date:  1993-10-07       Impact factor: 49.962

View more
  32 in total

Review 1.  Mutation and the evolution of ageing: from biometrics to system genetics.

Authors:  Kimberly A Hughes
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-04-27       Impact factor: 6.237

Review 2.  The adaptive hypothesis of clinal variation revisited: single-locus clines as a result of spatially restricted gene flow.

Authors:  Anti Vasemägi
Journal:  Genetics       Date:  2006-07-18       Impact factor: 4.562

3.  Evidence of spatially varying selection acting on four chromatin-remodeling loci in Drosophila melanogaster.

Authors:  Mia T Levine; David J Begun
Journal:  Genetics       Date:  2008-02-03       Impact factor: 4.562

4.  Genome-Wide Analysis of Starvation-Selected Drosophila melanogaster-A Genetic Model of Obesity.

Authors:  Christopher M Hardy; Molly K Burke; Logan J Everett; Mira V Han; Kathryn M Lantz; Allen G Gibbs
Journal:  Mol Biol Evol       Date:  2018-01-01       Impact factor: 16.240

5.  Genomic differentiation between temperate and tropical Australian populations of Drosophila melanogaster.

Authors:  Bryan Kolaczkowski; Andrew D Kern; Alisha K Holloway; David J Begun
Journal:  Genetics       Date:  2010-11-08       Impact factor: 4.562

Review 6.  Molecular population genetics and selection in the glycolytic pathway.

Authors:  Walter F Eanes
Journal:  J Exp Biol       Date:  2011-01-15       Impact factor: 3.312

7.  Linkage limits the power of natural selection in Drosophila.

Authors:  Andrea J Betancourt; Daven C Presgraves
Journal:  Proc Natl Acad Sci U S A       Date:  2002-10-07       Impact factor: 11.205

8.  An inversion supergene in Drosophila underpins latitudinal clines in survival traits.

Authors:  Esra Durmaz; Clare Benson; Martin Kapun; Paul Schmidt; Thomas Flatt
Journal:  J Evol Biol       Date:  2018-06-28       Impact factor: 2.411

Review 9.  Integrating evolutionary and molecular genetics of aging.

Authors:  Thomas Flatt; Paul S Schmidt
Journal:  Biochim Biophys Acta       Date:  2009-07-18

10.  Modulation of methuselah expression targeted to Drosophila insulin-producing cells extends life and enhances oxidative stress resistance.

Authors:  Luis E D Gimenez; Parakashtha Ghildyal; Kathleen E Fischer; Hongxiang Hu; William W Ja; Benjamin A Eaton; Yimin Wu; Steven N Austad; Ravi Ranjan
Journal:  Aging Cell       Date:  2012-12-06       Impact factor: 9.304

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.